scholarly journals Econometric analysis of the effects of equity capitalization strategies on Brazilian companies performance

2010 ◽  
Vol 8 (1) ◽  
pp. 583-589
Author(s):  
Otavio Prospero Sanchez ◽  
Elmo Tambosi Filho ◽  
Luis Carlos Domingos
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Superior Performance ◽  
Local Market ◽  
Firm Financing ◽  
Negative Effect ◽  
International Investors ◽  
Financing Strategy

This article explores the effect in performance of two types of firm financing strategies in Brazilian market, IPO and debentures. We use a fixed effects panel data analysis of 264 firms during the period from 2002 to 2008 to analyze how firms that performed IPO and issued debentures differentiate from others, in terms of Tobin Q. We found that firm that performed IPO have shown a negative effect on Tobin Q while firms that performed debentures, a popular financing strategy in Brazil, showed superior performance. These findings, while consistent with previous literature, make important contributions to the understanding of local market conditions given that Brazilian IPO have being very attention grabbing for international investors.

scholarly journals DETERMINASI PERTUMBUHAN EKONOMI DI TUJUH NEGARA ASEAN PERIODE TAHUN 1996-2013

Media Ekonomi ◽  
2015 ◽  
Vol 23 (2) ◽  
pp. 107
Author(s):  
Desyana Eka Pramasty ◽  
Lydia Rosintan
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Data Analysis ◽  
Panel Data ◽  
Direct Investment ◽  
Panel Data Analysis ◽  
Foreign Debt ◽  
National Income ◽  
Negative Effect ◽  
Asean Countries

<p><em>Economic growth is also one of the most important indicators</em><em> </em><em>in determining the standard of living of people in a country, because of an increase in the production capacity of an economy that is manifested in the form of national income. Economic growth is an indication of the success of economic development, measured by comparing, for example, for domestic size, Gross Domestic Product (GDP) in the current year with the previous year. This study aimed to analyze the factors that affect economic growth in seven ASEAN countries period from 1996-2013. This study use panel data analysis. The factors that affect economic growth in seven ASEAN countries, namely foreign debt, foreign direct investment, and the rate of inflation. Based on panel data analysis of the results showed that the foreign debt has negative effect and significant on economic growth, foreign direct investment has positive effect and significant on economic growth and inflation rate has negative effect and significant on economic growth in seven ASEAN countries period from 1996-2013.</em></p>

scholarly journals Capital Investments and Manufacturing Firms’ Performance: Panel-Data Analysis

2020 ◽  
Vol 12 (4) ◽  
pp. 1689 ◽  
Author(s):  
Vanja Grozdić ◽  
Branislav Marić ◽  
Mladen Radišić ◽  
Jarmila Šebestová ◽  
Marcin Lis
Keyword(s):  
Data Analysis ◽  
Firm Performance ◽  
Panel Data ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Manufacturing Firms ◽  
Capital Investments ◽  
Short Term ◽  
Term Performance

The main goal of this study was to examine the effects of capital investments on firm performance, using panel-data analysis. For this purpose, financial data were gathered for 60 manufacturing firms based in Serbia, in the period from 2004 to 2016. The main research hypotheses were developed in accordance with the definition, nature, and time aspect of capital investments. Therefore, empirical expectation of this study was that the relationship between capital investments and firm performance should be positive—they probably bring losses to the firm in the short term, but they should increase firm performance in the long term. Finally, the results have indeed shown that capital investments have statistically significant negative effect on the short-term performance, but positive effect on the long-term performance of the analyzed firms, while controlling for time-fixed effects and certain internal factors.

Data hiding the truth for the last few years: a panel data analysis of crimes against women

2019 ◽  
Vol 5 (2) ◽  
pp. 132-143
Author(s):  
Aarthee Ragunathan ◽  
Ezhilmaran Devarasan
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Violence Against Women ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Ordinary Least Squares ◽  
Content Type ◽  
Thomson Reuters ◽  
Crime Types ◽  
Crimes Against Women

PurposeThe offence against femininity has not only destroyed India’s development but also its future. When it comes down to the most important factor like sex, the social evils like “sati” and “dowry” that had been plaguing our country have been banned in India. India is the most dangerous nation in regard to sexual violence against women, according to the summary of the Thomson Reuters Foundation, 2018. The purpose of this paper is to determine the relationship between the total populations of women with other different types of women crime in all states in India.Design/methodology/approachThis paper will review existing panel data analysis literature and apply this knowledge in finding the highly occurred women crimes in India. Using R software the following models are analysed: pooled ordinary least squares, fixed effects models and random effects models for analysing the women crimes in India.FindingsIn this paper, the authors identify that the fixed effects model is more appropriate for the analysis of women crimes in India.Practical implicationsViolence against women is a social, economic, developmental, legal, educational, human rights and health issue. This paper can be used to find the importance of women crime types. Moreover, the police or legal department can take actions according to the crime types.Originality/valueThere is a lack of literature considering the crimes against women. This will help the society to understand women crime types because the only type of violence that has received much attention by the media is rape. But, through our panel data analysis, we conclude that kidnapping, abduction and dowry death are the most occurred crimes against women in India.

scholarly journals Firm Performance and Market Behavior during First Wave of COVID-19 in Egypt: Panel Data Analysis

2021 ◽  
Vol 13 (2) ◽  
pp. 1
Author(s):  
May Elewa
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Stock Price ◽  
Fixed Effects ◽  
Business Processes ◽  
Panel Data Analysis ◽  
Trade Volume ◽  
Fixed Effects Model ◽  
Net Profit ◽  
The Impact

The purpose of this paper is to identify the impact of market capital MC and net profit NP on stock price SP and trade volume (TV) in the developing Egyptian business context. This study collects data from 29 non-financial organizations registered on the EGX 30 during the 6 month, 1/1/2020 to 30/6/2020, lockdown in Egypt due to the first wave of COVID-19. Data for the monthly confirmed cases and death cases of COVID-19 are collected for the 6 months of the study and compared to the monthly records of closing prices and trade volume in Egyptian poundsEGP. The study population represents 174 firm year observations. The firms studied operate in cash, have annual financial reports during the period 1/1 to 31/12, obtain complete financial data, and have not been eliminated all throughout the study. In this work the pooled model, the fixed effects model, and the random effects model are used.SPSSis applied to achieve the required statistical analysis. The study is a panel data analysis. Outcomes demonstrate existing substantial effects between market capital MC and stock price SP during the first wave of COVID-19. However, no significant effect is evident of the market capital MC and net profit NP with the trade volume TV during the first wave of this pandemic. This literature is advantageous for external and internal stakeholders and regulatory bodies. The study is a modest contribution that may help boost the business processes to reach better financial performance in times of unexpected catastrophes.

scholarly journals Climate change and food security in EAC region: a panel data analysis

2019 ◽  
Vol 4 (4) ◽  
pp. 270-284
Author(s):  
Walaa Mahrous
Keyword(s):  
Climate Change ◽  
Food Security ◽  
Data Analysis ◽  
Panel Data ◽  
Fixed Effects ◽  
Global Climate ◽  
Panel Data Analysis ◽  
Content Type ◽  
East African Community ◽  
The Impact

Purpose This study aims to analyze the impact of global climate change on food security in the East African Community (EAC) region, using panel data analysis for five countries, over 2000-2014. Design/methodology/approach The determinants of food security are expressed as a function of rainfall, temperature, land area under cereal production, and population size. The paper used pooled fixed effects to estimate the relationship among these variables. Findings Findings show that food security in EAC is adversely affected by temperature. However, precipitation and increasing areas cultivated with cereal crops will be beneficial to ensure everyone's food security. Originality/value Actions for mitigating global warming are important for EAC to consolidate the region’s economic, political and social development/stability.

scholarly journals DETERMINAN KINERJA KEUANGAN ASURANSI SYARIAH DI INDONESIA PERIODE 2014-2016

2019 ◽  
Vol 5 (11) ◽  
pp. 892
Author(s):  
Audina Ayu Hidayati ◽  
Atina Shofawati
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Secondary Data ◽  
Financial Statements ◽  
Insurance Companies ◽  
Regression Result ◽  
Company Size ◽  
Exogenous Variables ◽  
Negative Effect

This study aims to determine the effect of exogenous variables Leverage, liquidity, Company Size, and Company Age on profitability with proxy ROA. This research uses quantitative approach by using secondary data in the form of financial statements of sharia insurance companies which listed on Otoritas Jasa Keuangan (OJK) in year 2014-2016. Regression result by using technique of panel data analysis with eviews 6. In this reasearch shows that the variables of Leverage, Liquidity, Company SizeandCompany Agesignificant effect on the profitability of sharia insurance companies simultaneously. Partially, significant Leverage and Company Age at 0,1 (10%) has significant negative effect towards on ROA but there is no effect in the variables of liquidity andCompany Sizetowards on Profitability of 93.8%. for 6,2 %, it is affected by other variables which are not included in this research.

scholarly journals Effect Of Human Development Index Fund on Economic Growth Through A Special Autonomy

2017 ◽  
Vol 18 (1) ◽  
pp. 50
Author(s):  
Irham Iskandar
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Panel Data ◽  
Human Development ◽  
Human Development Index ◽  
Panel Data Analysis ◽  
Research Development ◽  
Development Index ◽  
Is Research ◽  
Negative Effect

This study aims to determine the human development index on economic growth through the provision of special autonomy. The method used is research development with panel data analysis in 23 districts / cities. The results showed that the moderation between the human development index through special autonomy fund a significant negative effect on economic growth. It indicates the use of special autonomy funds for the human development index is still up, so the future is expected to need to be allocated according to the needs in the region, so that the special autonomy funds can effectively and efficiently.

scholarly journals Economic growth and height of youth: a panel data analysis on 27 provinces in China, 1985–2014

2019 ◽  
Author(s):  
Ke Hong YU ◽  
Xiao Mei Gan ◽  
Xu WEN
Keyword(s):  
Economic Growth ◽  
Data Analysis ◽  
Panel Data ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Practical Significance ◽  
Average Height ◽  
Longitudinal Surveys ◽  
Chinese Youth ◽  
The Impact

Abstract Background: This study aimed to empirically examine the influence of China’s macroeconomic development on the height of Chinese youth in the past 30 years, using provincial panel data collected from more than one million children. Methods: Panel data from seven longitudinal surveys (1985, 1991, 1995, 2000, 2005, 2010, and 2014) of the Chinese National Surveys on Students’ Constitution and Health, including students aged 7–22 years from 27 provinces, were utilized for data analysis. Fixed-effects models were used to estimate the association between economic growth and height. Results: For every 1% increase in per capita disposable income (PCDI), the average height of students significantly increased by approximately 0.009%. Stated another way, this implies that a doubling of income is associated with 0.9% increase in height, which is significant for height. The coefficient of PCDI in the last decade is higher than that of in the early two decades. The average height of boys was approximately 3.9% higher than that of girls. The average height difference between high and low ages in the sample was 1.9%. The impact of policies on students' height was extremely small and may have little practical significance. Conclusion: China’s economic growth has a significant positive effect on the height of urban Chinese students without stagnation.

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